Abstract: In view of problems of various coal mine safety hidden danger factors and complex relationship among different hidden danger factors, based on coal mine safety hidden danger data of Sima Coal Mining Co., Ltd. of Lu'an Group during 2009-2015, operation department, hidden danger location and hidden danger type were regarded as independent nodes, and time interval was divided according to hidden danger date, so as to display relationship between hidden danger type and hidden danger location, and hidden danger type and operation department within a specific time interval in form of complex network. The complex network indexes such as network density, centralization and centrality were used to analyze dynamic changes of the whole network structure and nodes in the network, so as to identify core hidden danger type and related hidden danger location and operation department that need to be focused on, and provide effective guidance for coal mine safety management.